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nie-xiuquan

EMAS:Epigenome-Wide Mediation Analysis Study

DNA methylation is essential for human, and environment can change the DNA methylation and affect body status. Epigenome-Wide Mediation Analysis Study (EMAS) can find potential mediator CpG sites between exposure (x) and outcome (y) in epigenome-wide. For more information on the methods we used, please see the following references: Tingley, D. (2014) <doi:10.18637/jss.v059.i05>, Turner, S. D. (2018) <doi:10.21105/joss.00731>, Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.

Maintained by Xiuquan Nie. Last updated 3 years ago.

67.9 match 1.00 score

modeloriented

arenar:Arena for the Exploration and Comparison of any ML Models

Generates data for challenging machine learning models in 'Arena' <https://arena.drwhy.ai> - an interactive web application. You can start the server with XAI (Explainable Artificial Intelligence) plots to be generated on-demand or precalculate and auto-upload data file beside shareable 'Arena' URL.

Maintained by Piotr Piątyszek. Last updated 4 years ago.

axplainable-artificial-intelligenceemaexplainabilityexplanatory-model-analysisimlinteractive-xaiinterpretabilityxai

11.0 match 31 stars 5.94 score 14 scripts

detlew

PowerTOST:Power and Sample Size for (Bio)Equivalence Studies

Contains functions to calculate power and sample size for various study designs used in bioequivalence studies. Use known.designs() to see the designs supported. Power and sample size can be obtained based on different methods, amongst them prominently the TOST procedure (two one-sided t-tests). See README and NEWS for further information.

Maintained by Detlew Labes. Last updated 12 months ago.

5.5 match 20 stars 9.61 score 112 scripts 4 dependents

joshuaulrich

TTR:Technical Trading Rules

A collection of over 50 technical indicators for creating technical trading rules. The package also provides fast implementations of common rolling-window functions, and several volatility calculations.

Maintained by Joshua Ulrich. Last updated 1 years ago.

algorithmic-tradingfinancetechnical-analysis

3.3 match 338 stars 15.11 score 2.8k scripts 359 dependents

stefanocoretta

rticulate:Articulatory Data Processing in R

A tool for processing Articulate Assistant Advanced™ (AAA) ultrasound tongue imaging data and Carstens AG500/1 electro-magnetic articulographic data.

Maintained by Stefano Coretta. Last updated 24 days ago.

phoneticssoftwaretongue-imageultrasoundultrasound-tongue-imaging

5.9 match 5 stars 5.88 score 17 scripts

serkor1

cryptoQuotes:Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts

This high-level API client provides open access to cryptocurrency market data, sentiment indicators, and interactive charting tools. The data is sourced from major cryptocurrency exchanges via 'curl' and returned in 'xts'-format. The data comes in open, high, low, and close (OHLC) format with flexible granularity, ranging from seconds to months. This flexibility makes it ideal for developing and backtesting trading strategies or conducting detailed market analysis.

Maintained by Serkan Korkmaz. Last updated 4 months ago.

binancebinance-apibitmartbybitbybit-apicryptocurrenciescryptocurrencycryptocurrency-exchangeshuobihuobi-apikraken-apikraken-exchange-apikucoinkucoin-api

5.0 match 39 stars 6.66 score 26 scripts

rstudio

keras3:R Interface to 'Keras'

Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.

Maintained by Tomasz Kalinowski. Last updated 4 days ago.

1.8 match 845 stars 13.57 score 264 scripts 2 dependents

helmut01

replicateBE:Average Bioequivalence with Expanding Limits (ABEL)

Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' / 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (South Africa: Cmax) - is implemented as well.

Maintained by Helmut Schütz. Last updated 3 years ago.

bioequivalencebiostatistics

3.3 match 9 stars 4.65 score 10 scripts

r-spark

sparklyr.flint:Sparklyr Extension for 'Flint'

This sparklyr extension makes 'Flint' time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.

Maintained by Edgar Ruiz. Last updated 3 years ago.

apache-sparkdata-analysisdata-miningdata-sciencedistributeddistributed-computingflintremote-clusterssparksparklyrstatistical-analysisstatisticsstatssummarizationsummary-statisticstime-seriestime-series-analysistwosigma-flint

1.9 match 9 stars 6.46 score 54 scripts

cefet-rj-dal

daltoolbox:Leveraging Experiment Lines to Data Analytics

The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

Maintained by Eduardo Ogasawara. Last updated 1 months ago.

1.7 match 1 stars 6.65 score 536 scripts 4 dependents

tscnlab

LightLogR:Process Data from Wearable Light Loggers and Optical Radiation Dosimeters

Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.

Maintained by Johannes Zauner. Last updated 24 days ago.

dosimetrylighttime-series-analysiswearable-deviceswearable-sensors

1.8 match 12 stars 5.91 score 28 scripts

eddelbuettel

RcppUTS:Rcpp Bindings for Algorithms for Unevenly Spaced Time Series

Algorithms and operators for unevenly-spaced time series are provided based on the 'UTS' library by Andreas Eckner.

Maintained by Dirk Eddelbuettel. Last updated 7 years ago.

cpp

1.8 match 9 stars 2.65 score

piusdahinden

disprofas:Non-Parametric Dissolution Profile Analysis

Similarity of dissolution profiles is assessed using the similarity factor f2 according to the EMA guideline (European Medicines Agency 2010) "On the investigation of bioequivalence". Dissolution profiles are regarded as similar if the f2 value is between 50 and 100. For the applicability of the similarity factor f2, the variability between profiles needs to be within certain limits. Often, this constraint is violated. One possibility in this situation is to resample the measured profiles in order to obtain a bootstrap estimate of f2 (Shah et al. (1998) <doi:10.1023/A:1011976615750>). Other alternatives are the model-independent non-parametric multivariate confidence region (MCR) procedure (Tsong et al. (1996) <doi:10.1177/009286159603000427>) or the T2-test for equivalence procedure (Hoffelder (2016) <https://www.ecv.de/suse_item.php?suseId=Z|pi|8430>). Functions for estimation of f1, f2, bootstrap f2, MCR / T2-test for equivalence procedure are implemented.

Maintained by Pius Dahinden. Last updated 9 months ago.

0.5 match 3.70 score 2 scripts

cran

eudract:Creates Safety Results Summary in XML to Upload to EudraCT, or ClinicalTrials.gov

The remit of the European Clinical Trials Data Base (EudraCT <https://eudract.ema.europa.eu/> ), or ClinicalTrials.gov <https://clinicaltrials.gov/>, is to provide open access to summaries of all registered clinical trial results; thus aiming to prevent non-reporting of negative results and provide open-access to results to inform future research. The amount of information required and the format of the results, however, imposes a large extra workload at the end of studies on clinical trial units. In particular, the adverse-event-reporting component requires entering: each unique combination of treatment group and safety event; for every such event above, a further 4 pieces of information (body system, number of occurrences, number of subjects, number exposed) for non-serious events, plus an extra three pieces of data for serious adverse events (numbers of causally related events, deaths, causally related deaths). This package prepares the required statistics needed by EudraCT and formats them into the precise requirements to directly upload an XML file into the web portal, with no further data entry by hand.

Maintained by Simon Bond. Last updated 2 months ago.

0.5 match 3.60 score

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